CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition

by Dibyendu Ghoshal, Parthasarathi De, Bapi Saha
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 49 - Number 2
Year of Publication: 2012
Authors: Dibyendu Ghoshal, Parthasarathi De, Bapi Saha
10.5120/7600-0316

Dibyendu Ghoshal, Parthasarathi De, Bapi Saha . Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition. International Journal of Computer Applications. 49, 2 ( July 2012), 19-23. DOI=10.5120/7600-0316

@article{ 10.5120/7600-0316,
author = { Dibyendu Ghoshal, Parthasarathi De, Bapi Saha },
title = { Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 49 },
number = { 2 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 19-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume49/number2/7600-0316/ },
doi = { 10.5120/7600-0316 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:45:17.005671+05:30
%A Dibyendu Ghoshal
%A Parthasarathi De
%A Bapi Saha
%T Identification of Tigers for Census by the Method of Tiger Iris Pattern Matching and Recognition
%J International Journal of Computer Applications
%@ 0975-8887
%V 49
%N 2
%P 19-23
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Iris pattern of any animal (including human being) is statistically unique and suitable for biometric measurements. The identity of the animal concerned can be determined and verified comparing the templates obtained with the present algorithm with that template stored in database which was formed on the basis of previous studies. In the present study, the method of circular Hough transform is used for segmentation of the tiger Iris and subsequently Daugman's rubber Sheet model is used for normalization of the segmented values. Pattern matching is achieved by calculating Hamming Distance where its degree is proportional to the closeness of matching. The closer matching between the stored and calculated pattern is found to lead towards better recognition of Irises and thereby the animal itself.

References
  1. J. Daugman, "How Iris Recognition Works," IEEE Trans. Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 21-30,Jan. 2004.
  2. Libor Masek, "Recognition of Human Iris Patterns for Biometric Identification", School of Computer Science and Soft Engineering, the University of Western Australia, 2003.
  3. R. Wildes, J. Asmuth, G. Green, S. Hsu, R. Kolczynski, J. Matey, S. McBride. "A system for automated iris recognition. Proceedings IEEE Workshop on Applications of Computer Vision, Sarasota, FL, pp. 121-128, 1994.
  4. Musgrave; Clyde (Frisco, TX),Cambier; James L. (Medford, NJ). " System and method of animal identification and animal transaction authorization using iris patterns". USPTO PATENT FULL TEXT AND IMAGE DATABASE Patent -6,424,727(23rd July, 2002).
  5. A. K. Jain, A. Ross, and S. Prabhaker, "An Introduction to Biometric Recognition," IEEE Trans. Circuits and Systems for Video Technology, vol. 14, no. 1, pp. 4-20, 2004.
  6. J. Daugman, "New Methods in Iris Recognition," IEEE Trans. System, Man, and Cybernetics—Part B: Cybernetics, vol. 37, no. 5, pp. 1167-1175, 2007.
  7. R. Wildes. "Iris recognition: an emerging biometric technology". Proceedings of the IEEE, Vol. 85, No. 9, 1997.
  8. Savita Sondhi, Sharda Vashisth, Asha Gaikwad and Anjali Garg. Article: IRIS Pattern "Recognition using Self-Organizing Neural Networks". IJCA Proceedings on National Conference on Advancement in Electronics and Telecommunication Engineering NCAETE (1):12-17.
  9. E. M. Arvacheh and H. R. Tizhoosh, "Iris segmentation: detecting pupil, limbus and eyelids," Proc. Int. Conf. Image Proc. , 2453-2456, 2006.
  10. Abhyankara, A. , Schuckers, S: "A novel biorthogonal wavelet network system for off-angle iris recognition", Pattern Recognition. , 2010, 43, pp. 987–1007.
  11. Satyanarayana V V Tallapragada and E G Rajan. Article: IRIS Recognition based on " Non Linear Dimensionality Reduction of IRIS Code with KPCA and SVM based Classification". International Journal of Computer Applications 44(13):42-46, April 2012.
  12. C. Boyce, A. Ross, M. Monaco, L. Hornak, and X. Li, "Multispectral "Iris Analysis: A Preliminary Study," Proc. IEEE Conf. Computer Vision and Pattern Recognition Workshop Biometrics,pp. 51-59, June 2006.
  13. Y. Zhu, T. Tan, and Y. Wang, "Biometric personal identification based on iris patterns," inProc. IEEE Int. Conf. Pattern Recognition. , 2000, pp. 2801–2804.
  14. L. Ma, T. Tan, Y. Wang, and D. Zhang, "Personal identification based on iris texture analysis," IEEE Trans. Pattern Anal. Mach. Intell. , vol. 25, no. 12, pp. 1519–1533,Dec. 2003.
  15. Gonzalez, R. C. , Woods, R. E, Digital Image Processing, 2nd ed. , Prentice Hall.
  16. Ya-Ping Huang, Si-Wei Luo, En- Yi Chen, "An efficient iris recognition system", International Conference on Machine Learning and Cybernetics, pp. 450-454, 2002.
  17. Mira J. and Mayer J. , "Image feature extraction for application of biometric identification of iris: a morphological approach", IEEE Proc. XVI Brazilian Symposium on Computer Graphics and Image Processing, pp. 391- 398, 2003.
  18. Wood, N. M. Orlans, and P. T. Higgins, Biometrics, The McGraw-hill company, Berkeley, California, 2002.
  19. Z. Sun, T. Tan, and X. Qiu, "Graph matching iris image blocks with local binary pattern," In Proceedings of the International Conference on Advances onBiometrics (ICB '06), vol. 3832 of Lecture Notes in Computer Science, pp. 366–372, Springer, Hong Kong, January 2006.
  20. Zhu, Y. , Tan, T. , Wang, Y. 'Biometric personal identification based on iris patterns'. Proc. 15th Int. Conf. on Pattern Recognition (ICPR), Spain, 2000, vol. 2, p. 2801.
Index Terms

Computer Science
Information Sciences

Keywords

Iris recognition Pattern matching biometric identification

Powered by PhDFocusTM